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Microgrid planning based on fuzzy interval models of renewable resources

R. Morales, D. Saez, L. G. Marin, A. Nunez
2016 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)  
Relying on interval fuzzy models and by considering a set of possible scenarios for the renewable resources, the solution to the microgrid planning problem is given through the optimal sizing and topology  ...  Fuzzy interval models are used because they can capture nonlinearities and systematically represent the uncertainties associated with renewable resources at a certain confidence level.  ...  The main contribution of this paper is the use of fuzzy interval models for microgrid planning.  ... 
doi:10.1109/fuzz-ieee.2016.7737706 dblp:conf/fuzzIEEE/MoralesSMN16 fatcat:d6uktti6cbbpzhsoh7mlgnl3hy

Implementation of an Optimal Control System of Distributed Power Using Microgrid Based Load Prediction Method

Jin-Gyu Chang, Moon-Sik Kang
2017 International Journal of Future Generation Communication and Networking  
In this paper, we propose an optimal control scheme of distributed power using load prediction model for the efficient operation and management based on microgrid technology.  ...  efficient operation and management based on microgrid technology.  ...  Acknowledgments This paper is a revised and expanded version of a paper entitled "Distributed Power Management Scheme Using Micro-grid Technology and Predictive Models" presented at ICGHIT (International  ... 
doi:10.14257/ijfgcn.2017.10.9.09 fatcat:m2yzvvpulbhshl4ypgkvv2hiyy

Fuzzy Prediction Interval Models for Forecasting Renewable Resources and Loads in Microgrids

Doris Saez, Fernand Avila, Daniel Olivares, Claudio Canizares, Luis Marin
2015 IEEE Transactions on Smart Grid  
An energy management system (EMS) determines the dispatching of generation units based on an optimizer that requires the forecasting of both renewable resources and loads.  ...  The proposed prediction interval models would help to enable the development of robust microgrid EMS.  ...  Fig. 2 . 2 Schematics of a renewable-based microgrid.  ... 
doi:10.1109/tsg.2014.2377178 fatcat:yvdn2vfluvbajkfixeluwc6wnm

Optimal Scheduling of Microgrid with Multiple Distributed Resources Using Interval Optimization

Chongxin Huang, Dong Yue, Song Deng, Jun Xie
2017 Energies  
For the sake of coping with the prediction uncertainties of renewable energies and loads and taking advantage of the time-of-use price for buying/selling electricity, an interval-based optimization model  ...  In this paper, an optimal day-ahead scheduling problem is studied for a microgrid with multiple distributed resources.  ...  In the optimization model, the uncertainties of renewable resource prediction and load prediction are modeled by using intervals.  ... 
doi:10.3390/en10030339 fatcat:zj3bfwp62fgm7bc43bhcffk77a

Demand and supply side management strategies for zero energy buildings

Mohammad Iman Ghiasi, Amin Hajizadeh, Masoud Aliakbar Golkar, Maryam Marefati
2017 2017 IEEE 17th International Conference on Ubiquitous Wireless Broadband (ICUWB)  
Afterwards, the SSM strategy based on adaptive fuzzy control is proposed to control of power flow between hybrid renewable sources and PEVs of the main building for a short time interval.  ...  The proposed DSM algorithm based upon game theory determines the optimal reference power of each power units during time interval of 5 min under three operational scenarios.  ...  Then power management strategy based on fuzzy control is proposed to control of power flow between hybrid renewable sources and PEVs to the main building for a short time interval.  ... 
doi:10.1109/icuwb.2017.8251007 dblp:conf/icuwb/GhiasiHGM17 fatcat:7yyjl65nyngldkretncpxutc5a

Solar irradiance forecasting using fuzzy logic and multilinear regression approach: A case study of Punjab, India

Sahil Mehta, Prasenjit Basak
2019 International Journal of Advances in Applied Sciences  
The error analysis of the fuzzy logic based proposed system shows the root mean square error of 10.011 and mean absolute percentage error of 1.703%, while compared with real time data measured by instruments  ...  Based on the simultaneous consideration of those five variables, the solar irradiance is forecasted using the proposed methodology at a particular location in India, and the results are compared with the  ...  In a recent trend, i.e. planning and designing of a microgrid with installed RES, in [22] the fuzzy logic approach for forecasting of renewable energy based sources considering the data of meteorological  ... 
doi:10.11591/ijaas.v8.i2.pp125-135 fatcat:q4i666cvdrdevaf2qemjna3ap4

Computational optimization techniques applied to microgrids planning: A review

Carlos Gamarra, Josep M. Guerrero
2015 Renewable & Sustainable Energy Reviews  
In this context, technical literature about optimization techniques applied to microgrid planning have been reviewed and the guidelines for innovative planning methodologies focused on economic feasibility  ...  Microgrids are expected to become part of the next electric power system evolution, not only in rural and remote areas but also in urban communities.  ...  Quiggin et al. to model a microgrid including a mix of renewable generation technologies, energy storage and DR, based on real world data of residential energy consumption and weather variables.  ... 
doi:10.1016/j.rser.2015.04.025 fatcat:5pjq6au47rbrxlp66c6gzsjypa

Multi-criteria planning of microgrids for rural electrification

Shabbir Saleh Bohra, Amjad Anvari-Moghaddam, Frede Blaabjerg, Behnam Mohammadi-Ivatloo
2021 Journal of Smart Environments and Green Computing  
(MCDM) (fuzzy-AHP-MCDM) technique for planning of isolated microgrid systems which is formed by using a group of sources, like photo-voltaic (PV) generator, wind-turbine, micro-hydro, bio-gas based generation  ...  Methods: A comprehensive comparison has been presented using (Hybrid Optimization Model for Electric Renewable) HOMER Pro software and fuzzy analytic hierarchy process (AHP)-based multi-criteria decisionmaking  ...  The technical and economic analyses of hybrid renewable energy systems are considered to be essential ones for the efficient utilization of renewable energy resources for microgrid applications [24]  ... 
doi:10.20517/jsegc.2021.06 fatcat:whjbvgth3reovgikcizhayljte

Tuning Fuzzy Systems to achieve economic dispatch for microgids

T. S. Mahmoud, D. Habibi, O. Bass, S. Lachowicz
2011 2011 IEEE PES Innovative Smart Grid Technologies  
The model was developed based on a neuro-fuzzy approach with additional fuzzy c-Means clustering method [8] .  ...  A fuzzy tuning mechanism is added to the prediction model to enhance the prediction accuracy based on actual load changes.  ... 
doi:10.1109/isgt-asia.2011.6167099 fatcat:lrw6iast75eqbhmeamlxw3n3qa

Multi-objective Fuzzy Logic-based Energy Management System for Microgrids with Battery and Hydrogen Energy Storage System

Francisco José Vivas, Francisca Segura, José Manuel Andújar, Adriana Palacio, Jaime Luis Saenz, Fernando Isorna, Eduardo López
2020 Electronics  
The developed EMS is based on a fuzzy logic controller (FLC), which presents different advantages regarding other controllers: It is not necessary to know the model of the plant, and the linguistic rules  ...  Planning the operation of renewable sources-based microgrids requires both an efficient dispatching management between the available and the demanded energy and a reliable forecasting tool.  ...  The planning of the operation of this type of grid based on renewable energy sources requires both an efficient dispatching for the available and the demanded energy, and a reliable short-and long-term  ... 
doi:10.3390/electronics9071074 fatcat:627rzklku5btnd6ii2zee24dl4

A Comprehensive Review on Integration Challenges, Optimization Techniques and Control Strategies of Hybrid AC/DC Microgrid

Omar Azeem, Mujtaba Ali, Ghulam Abbas, Muhammad Uzair, Ayman Qahmash, Abdulmohsen Algarni, Mohammad Rashid Hussain
2021 Applied Sciences  
The depletion of natural resources and the intermittence of renewable energy resources have pressed the need for a hybrid microgrid, combining the benefits of both AC and DC microgrids, minimizing the  ...  scenarios, the efficient management regarding uncertainty for renewable energy resources, the optimal placement of feeders, and the cost-effective control methodologies for the hybrid microgrid.  ...  Conflicts of Interest: The authors declare no conflict of interest. Appl. Sci. 2021, 11, 6242  ... 
doi:10.3390/app11146242 fatcat:274dmqmkzzfo7ojow2s75jr3wi

Energy Management in Microgrids with Renewable Energy Sources: A Literature Review

Yimy E. García Vera, Rodolfo Dufo-López, José L. Bernal-Agustín
2019 Applied Sciences  
Finally, future directions on predictive modeling mainly for energy storage systems are also proposed.  ...  This paper presents a literature review of energy management in microgrid systems using renewable energies, along with a comparative analysis of the different optimization objectives, constraints, solution  ...  Renewable energies are incorporated into an energetic model, similar to the Colombian one, and are mainly based on hydric resources. Cardoso et al.  ... 
doi:10.3390/app9183854 fatcat:i3kkxrvxkzfkrikaylmdrbizpi

Energy Management System for Integration of Different Renewable Energy System into Microgrids

2021 International Journal of Advanced Trends in Computer Science and Engineering  
of the microgrid (MG) will operate within a secured interval.  ...  Energy management system (EMS) was tested on a simulation platform that integrates a model of the microgrid (MG) component and its distributed controller (DC).  ...  Also we extend the vote of thanks to the Department of Electrical Engineering, GC University Faisalabad and Department of Automotive Engineering for Sustainable Mobility, University of Orleans for providing  ... 
doi:10.30534/ijatcse/2021/1061022021 fatcat:vhkiayhw6nbtvjqgpqi2vcjl3a

A review of forecasting algorithms and energy management strategies for microgrids

Jie Ma, Xiandong Ma
2018 Systems Science & Control Engineering  
of renewable resources and user behaviours.  ...  An optimal schedule scheme of the battery energy storage system (BESS) allows renewable generators to operate in maximum peak power tracking mode constantly based on the forecasting information of power  ...  Disclosure statement No potential conflict of interest was reported by the authors[Q7].  ... 
doi:10.1080/21642583.2018.1480979 fatcat:mqnto4bnvjcpxlx4zjgf4lwt3i

Neuro-Fuzzy-Based Model Predictive Energy Management for Grid Connected Microgrids

Ahsen Ulutas, Ismail Hakki Altas, Ahmet Onen, Taha Selim Ustun
2020 Electronics  
An energy management algorithm, which is based on a neuro-fuzzy inference system, is designed by determining the possible operating states of the system.  ...  Increasing fossil-fuel-based electricity generation has serious impacts on environment.  ...  P Grid,RBC = P PV − P Load + P Battery Energy Management of Microgrid with Rule-Based Control Energy Management of Microgrid with Rule-Based Control Neuro-Fuzzy-Based Energy Management of Microgrid  ... 
doi:10.3390/electronics9060900 fatcat:smndfl5ycnglxkucp7o2mdnth4
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